Youzan / 有赞 MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Youzan / 有赞 through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"youzan": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Youzan / 有赞, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Youzan / 有赞 MCP Server
Empower your AI agent to orchestrate your retail business with Youzan (有赞), the dominant E-commerce and retail SaaS platform in China. By connecting Youzan to your agent, you transform complex store management and order tracking into a natural conversation. Your agent can instantly list products, retrieve order details, manage customer profiles, and even provide sales statistics without you ever needing to navigate the comprehensive Youzan Backend. Whether you are managing an online shop or a large-scale retail operation, your agent acts as a real-time retail assistant, keeping your data accurate and your sales moving.
LangChain's ecosystem of 500+ components combines seamlessly with Youzan / 有赞 through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Product Orchestration — List all items on sale, get detailed product information, and browse store categories.
- Order Management — List sold trades and retrieve detailed order information to track fulfillment and delivery.
- Customer CRM Control — Search and manage customer profiles, including contact details and purchase history.
- Inventory Monitoring — Retrieve stock levels and SKU information for any item in your shop.
- Sales Insights — Get high-level summaries of sales performance and product rankings.
The Youzan / 有赞 MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Youzan / 有赞 to LangChain via MCP
Follow these steps to integrate the Youzan / 有赞 MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Youzan / 有赞 via MCP
Why Use LangChain with the Youzan / 有赞 MCP Server
LangChain provides unique advantages when paired with Youzan / 有赞 through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Youzan / 有赞 MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Youzan / 有赞 queries for multi-turn workflows
Youzan / 有赞 + LangChain Use Cases
Practical scenarios where LangChain combined with the Youzan / 有赞 MCP Server delivers measurable value.
RAG with live data: combine Youzan / 有赞 tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Youzan / 有赞, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Youzan / 有赞 tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Youzan / 有赞 tool call, measure latency, and optimize your agent's performance
Youzan / 有赞 MCP Tools for LangChain (10)
These 10 tools become available when you connect Youzan / 有赞 to LangChain via MCP:
get_customer
Get customer details
get_inventory
Get item SKU inventory
get_item
Get item details
get_order
Get order details
get_sales_stats
Get sales performance stats
get_shop
Get shop information
list_categories
List item categories
list_customers
Search SCRM customers
list_items
List on-sale items
list_orders
List sold trades
Example Prompts for Youzan / 有赞 in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Youzan / 有赞 immediately.
"List all products currently on sale in my shop."
"Show me the last 5 orders from today."
"Check the inventory for item ID 12345678."
Troubleshooting Youzan / 有赞 MCP Server with LangChain
Common issues when connecting Youzan / 有赞 to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersYouzan / 有赞 + LangChain FAQ
Common questions about integrating Youzan / 有赞 MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Youzan / 有赞 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Youzan / 有赞 to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.